Geospatial Analyst

AiDash; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

AiDASH in Bengaluru is seeking a Geospatial Analyst to produce high-quality annotated datasets from satellite, LiDAR, aerial, and ground-based imagery. Your work will feed AI/ML pipelines and client deliverables protecting critical infrastructure.

You will build AI-accelerated workflows, ensure data quality, and collaborate with AI/ML engineers to define labeling guidelines and dataset standards. Prior experience with imagery annotation and programming is valued.

Qualifications

• 1 to 4 years of work experience in imagery annotation, image analysis, remote sensing, or a related domain.
• Hands-on experience with annotation and labelling platforms.
• Demonstrated use of generative AI tools (e.g. Claude, ChatGPT) to enhance day-to-day work.
• Comfortable using Gen AI tools to draft reports, generate annotation guidelines, and summarize analysis outputs.
• Working knowledge of Python or scripting for data processing and automation is preferred; geospatial libraries are a bonus.
• Experience working with satellite imagery, aerial photography, LiDAR point clouds, or video annotation for AI/ML pipelines.

Responsibilities

• Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components
• Prepare, extract, and organize spatial and non-spatial data based on AI model and customer delivery requirements
• Review annotated data for patterns, trends, and quality issues using annotation platforms and in-house tools
• Use AI tools and assistants to accelerate annotation and workflows, auto-generate documentation, and draft reports
• Perform annotation tasks including object classification, digitization, geo-referencing, and feature creation across multi-source imagery
• Leverage generative AI tools to build automations or semi-automated annotation pipelines that boost team productivity
• Collaborate with AI/ML engineers to define annotation guidelines, refine labelling schemas, and ensure datasets meet model training and delivery standards
• Ensure productivity targets are met with utmost focus on annotation quality, consistency, and adherence to project specifications

Skills

imagery annotation

GIS software

Generative AI tools

Python scripting

Data quality

Tools

annotation platforms

Geospatial libraries

Job description

About AiDASH

AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid.

Learn more at www.aidash.com.

The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.

Join us in Securing Tomorrow Together!

The Role

As a Geospatial Analyst at AiDASH, you will produce high-quality annotated datasets from diverse imagery sources — satellite, LiDAR, aerial, and ground-based panoramic images and videos. Your work will directly feed AI/ML pipelines and client deliverables that protect critical infrastructure. This role demands a sharp eye for detail, comfort working with visual and geospatial data at scale, and fluency with modern AI tools. You won’t just annotate images; you’ll build AI-accelerated workflows that make the entire team faster.

How You'll Make an Impact

• Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components
• Prepare, extract, and organize spatial and non-spatial data based on AI model and customer delivery requirements
• Review annotated data for patterns, trends, and quality issues using annotation platforms and in-house tools
• Use AI tools and assistants to accelerate annotation and workflows, auto-generate documentation, and draft reports
• Perform annotation tasks including object classification, digitization, geo-referencing, and feature creation across multi-source imagery
• Leverage generative AI tools to build automations or semi-automated annotation pipelines that boost team productivity
• Collaborate with AI/ML engineers to define annotation guidelines, refine labelling schemas, and ensure datasets meet model training and delivery standards
• Ensure productivity targets are met with utmost focus on annotation quality, consistency, and adherence to project specifications

What We're Looking For

• 1 to 4 years of work experience in imagery annotation, image analysis, remote sensing, or a related domain
• Hands-on experience with annotation and labelling platforms; familiarity with GIS software is an added advantage
• Demonstrated use of generative AI tools (e.g. Claude, ChatGPT) to enhance day-to-day work — whether for analysis, drafting reports, automating repetitive tasks, improving annotation speed, or any other productivity gains
• Comfortable using Gen AI tools to draft reports, generate annotation guidelines, and summarize analysis outputs with sound judgment
• Working knowledge of Python or scripting for data processing and automation is preferred; geospatial libraries are a bonus
• Experience working with satellite imagery, aerial photography, LiDAR point clouds, or video annotation for AI/ML pipelines
• Ability to learn quickly and develop deep functional knowledge of project specifications, annotation schemas, and quality procedures
• Strong focus on data quality, annotation accuracy, and consistency across large-scale datasets

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, colour, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.

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